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Published in: Journal of Cancer Survivorship 6/2022

Open Access 13-09-2021

Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach

Authors: Sarah J. Hardcastle, Chloe Maxwell-Smith, Martin S. Hagger

Published in: Journal of Cancer Survivorship | Issue 6/2022

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Abstract

Purpose

Previous research has not examined the utility of the Health Action Process Approach (HAPA) to predict physical activity (PA) change in cancer survivors. The aim of the study was to investigate the efficacy of a HAPA-based model in predicting temporal change in moderate-to-vigorous physical activity (MVPA) in cancer survivors.

Methods

Participants enrolled in the Wearable Activity Technology and Action Planning (WATAAP) trial completed validated questionnaires (n = 64) to assess HAPA constructs (action and maintenance self-efficacy, outcome expectancies, action planning, risk perceptions, and intention) and wore an ActiGraph to measure PA at baseline, 12 weeks, and 24 weeks later. Data were analyzed using variance-based structural equation modeling with residualized change scores for model variables.

Results

Consistent with predictions, changes in action self-efficacy (β = 0.490, p < 0.001, ES = 0.258) and risk perceptions (β = 0.312, p = 0.003, ES = 0.099) were statistically significant predictors of intention change over time. Changes in intention (β = 0.217, p = 0.029, ES = 0.040) and action planning (β = 0.234, p = 0.068, ES = 0.068) predicted changes in MVPA. Overall, the model accounted for significant variance in intention (R2 = 0.380) and MVPA (R2 = 0.228) change.

Conclusions

Changes in intention and action planning were important correlates of MVPA change over 24 weeks. Further, changes in action self-efficacy and risk perceptions predicted changes in intention. Implications for cancer survivors: interventions that foster risk perceptions and self-efficacy, strengthen intentions, and promote action planning may be effective in promoting sustained PA change in cancer survivors.
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Literature
1.
go back to reference Bellizzi KM, Rowland JH, Jeffery DD, McNeel T. Health behaviors of cancer survivors: examining opportunities for cancer control intervention. J Clin Oncol. 2005;23:8884–93.CrossRefPubMed Bellizzi KM, Rowland JH, Jeffery DD, McNeel T. Health behaviors of cancer survivors: examining opportunities for cancer control intervention. J Clin Oncol. 2005;23:8884–93.CrossRefPubMed
2.
go back to reference Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA-Cancer J Clin. 2011;61:69–90.CrossRefPubMed Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA-Cancer J Clin. 2011;61:69–90.CrossRefPubMed
4.
go back to reference Demark-Wahnefried W, Aziz NM, Rowland JH, Pinto BM. Riding the crest of the teachable moment: promoting long-term health after the diagnosis of cancer. J Clin Oncol. 2005;23:5814–30.CrossRefPubMed Demark-Wahnefried W, Aziz NM, Rowland JH, Pinto BM. Riding the crest of the teachable moment: promoting long-term health after the diagnosis of cancer. J Clin Oncol. 2005;23:5814–30.CrossRefPubMed
6.
7.
go back to reference Rock CL, Doyle C, Demark-Wahnefried W, Meyerhardt J, Courneya KS, et al. Nutrition and physical activity guidelines for cancer survivors. CA Cancer J Clin. 2012;62:242–74.CrossRef Rock CL, Doyle C, Demark-Wahnefried W, Meyerhardt J, Courneya KS, et al. Nutrition and physical activity guidelines for cancer survivors. CA Cancer J Clin. 2012;62:242–74.CrossRef
8.
go back to reference Hirschey R, Bryant AL, Macek C, et al. Predicting physical activity among cancer survivors: metaanalytic path modeling of longitudinal studies. Health Psychol. 2020;39(4):269–80.CrossRefPubMedPubMedCentral Hirschey R, Bryant AL, Macek C, et al. Predicting physical activity among cancer survivors: metaanalytic path modeling of longitudinal studies. Health Psychol. 2020;39(4):269–80.CrossRefPubMedPubMedCentral
10.
go back to reference Bluethmann S, Barthlolemew LK, Murphy CC, Vernon SW. Use of theory in behavior change interventions: an analysis of programs to increase physical activity in posttreatment breast cancer survivors. Health Educ Behav. 2017;44(2):245–53.CrossRefPubMed Bluethmann S, Barthlolemew LK, Murphy CC, Vernon SW. Use of theory in behavior change interventions: an analysis of programs to increase physical activity in posttreatment breast cancer survivors. Health Educ Behav. 2017;44(2):245–53.CrossRefPubMed
13.
go back to reference Zhang C, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38(7):623–37.CrossRefPubMed Zhang C, Zhang R, Schwarzer R, Hagger MS. A meta-analysis of the health action process approach. Health Psychol. 2019;38(7):623–37.CrossRefPubMed
16.
go back to reference Maxwell-Smith C, Hince D, Cohen P, et al. A randomized controlled trial of WATAAP to promote physical activity in colorectal and endometrial cancer survivors. Psychooncology. 2019;28(7):1420–9.CrossRefPubMed Maxwell-Smith C, Hince D, Cohen P, et al. A randomized controlled trial of WATAAP to promote physical activity in colorectal and endometrial cancer survivors. Psychooncology. 2019;28(7):1420–9.CrossRefPubMed
26.
go back to reference Ajzen I, Brown TC, Carvajal F. Explaining the discrepancy between intentions and actions: the case of hypothetical bias in contingent valuation. Pers Soc Psychol Bull. 2004;30:1108–21.CrossRefPubMed Ajzen I, Brown TC, Carvajal F. Explaining the discrepancy between intentions and actions: the case of hypothetical bias in contingent valuation. Pers Soc Psychol Bull. 2004;30:1108–21.CrossRefPubMed
27.
go back to reference Kock N. WarpPLS User Manual: Version 7.0. Laredo, Texas: ScriptWarp Systems™; 2020. Kock N. WarpPLS User Manual: Version 7.0. Laredo, Texas: ScriptWarp Systems™; 2020.
28.
go back to reference Tenenhaus M, Vinzi VE, Chatelin YM, Lauro C. PLS path modeling. Comput Stat Data Anal. 2005;48:159–205.CrossRef Tenenhaus M, Vinzi VE, Chatelin YM, Lauro C. PLS path modeling. Comput Stat Data Anal. 2005;48:159–205.CrossRef
29.
go back to reference Hagger MS, Hardcastle SJ, Hingley C, Strickland E, Pang J, Watts GF. Predicting self-management behaviors in familial hypercholesterolemia using an integrated theoretical model: the impact of beliefs about illnesses and beliefs about behaviors. Int J Behav Med. 2016;23:282–94.CrossRefPubMed Hagger MS, Hardcastle SJ, Hingley C, Strickland E, Pang J, Watts GF. Predicting self-management behaviors in familial hypercholesterolemia using an integrated theoretical model: the impact of beliefs about illnesses and beliefs about behaviors. Int J Behav Med. 2016;23:282–94.CrossRefPubMed
32.
go back to reference Conner M, Norman P. Predicting and changing health behaviour: research and practice with social cognition models. Maidenhead: McGraw-Hill Education, Open University Press; 2015. Conner M, Norman P. Predicting and changing health behaviour: research and practice with social cognition models. Maidenhead: McGraw-Hill Education, Open University Press; 2015.
33.
go back to reference Maxwell-Smith C, Hagger MS, Kane R, … Hardcastle SJ. Psychological correlates of physical activity and exercise preferences in metropolitan and nonmetropolitan cancer survivors. Psycho-Oncology. 2021;30(2):221–230. Maxwell-Smith C, Hagger MS, Kane R, … Hardcastle SJ. Psychological correlates of physical activity and exercise preferences in metropolitan and nonmetropolitan cancer survivors. Psycho-Oncology. 2021;30(2):221–230.
36.
go back to reference Lippke S, Plotnikoff RC. Testing two principles of the health action process approach in individuals with type 2 diabetes. Health Psychol. 2014;33:77–84.CrossRefPubMed Lippke S, Plotnikoff RC. Testing two principles of the health action process approach in individuals with type 2 diabetes. Health Psychol. 2014;33:77–84.CrossRefPubMed
37.
go back to reference Fischer X, Donath L, Zahner L, Faude O, Gerber M. Exploring psychosocial mediators of remote physical activity counselling: a secondary analysis of data from a 1-year randomised control trial (MovingCall). J Beh Med. 2020;43(2):271–83.CrossRef Fischer X, Donath L, Zahner L, Faude O, Gerber M. Exploring psychosocial mediators of remote physical activity counselling: a secondary analysis of data from a 1-year randomised control trial (MovingCall). J Beh Med. 2020;43(2):271–83.CrossRef
38.
go back to reference Scholz U, Sniehotta FF, Schwarzer R. Predicting physical exercise in cardiac rehabilitation: the role of phase-specific self-efficacy beliefs. J Sport Exerc Psychol. 2005;27:135–51.CrossRef Scholz U, Sniehotta FF, Schwarzer R. Predicting physical exercise in cardiac rehabilitation: the role of phase-specific self-efficacy beliefs. J Sport Exerc Psychol. 2005;27:135–51.CrossRef
40.
go back to reference Schwarzer R, Schuz B, Ziegelmann JP, Lippke S, Luszczynska A, Scholz U. Adoption and maintenance of four health behaviors: theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Ann Behav Med. 2007;33:156–66. https://doi.org/10.1007/BF02879897.CrossRefPubMed Schwarzer R, Schuz B, Ziegelmann JP, Lippke S, Luszczynska A, Scholz U. Adoption and maintenance of four health behaviors: theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Ann Behav Med. 2007;33:156–66. https://​doi.​org/​10.​1007/​BF02879897.CrossRefPubMed
Metadata
Title
Predicting physical activity change in cancer survivors: an application of the Health Action Process Approach
Authors
Sarah J. Hardcastle
Chloe Maxwell-Smith
Martin S. Hagger
Publication date
13-09-2021
Publisher
Springer US
Published in
Journal of Cancer Survivorship / Issue 6/2022
Print ISSN: 1932-2259
Electronic ISSN: 1932-2267
DOI
https://doi.org/10.1007/s11764-021-01107-6

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